9 models
GLM 4.6V Flash 9B model with vision, tools, and hybrid thinking enabled. using custom template to align it to ollama and the recomended sampling settigns by default. using unsloth quants at q4K_M
GLM-4.6V-Flash (9B) is a lightweight model optimized for local deployment and low-latency applications. It scales its context window to 128k tokens in training and achieves SoTA performance in visual understanding among models of similar parameter scales.
LongWriter-glm4-9b is trained based on glm-4-9b, and is capable of generating 10,000+ words at once.
GLM-4-0414 series models.
GLM-4-Z1-9B-0414 9B小参数模型，其整体表现已处于同尺寸开源模型中的领先水平，此模型使用Ollama v0.6.6版本制作生成，需要Ollama v0.6.6及以上版本才能运行推理。
Base model
Biomedical evidence-based decision models (0.8B, 4B, 9B) built on Qwen3.5, with native Ollama `/v1/systemone` support for `choice`, `noul`, and `score`.
Generic all purpose model. Occasionally may have notable logic, usually Llama-3_3-Nemotron-Super-49B-v1_5 is preferred.